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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    occurrences of the word 'cup'

    oai_token-act-pair · gpt-3.5-turbo

    references to "cup" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eering
    -0.78
     Giuliani
    -0.63
    SPONSORED
    -0.60
     generational
    -0.59
     gearing
    -0.59
    IGHTS
    -0.59
     Dmit
    -0.57
     Voc
    -0.56
     expectation
    -0.55
     Caldwell
    -0.55
    POSITIVE LOGITS
    cake
    1.98
    cakes
    1.92
    board
    1.08
    boards
    1.06
    cup
    1.04
    idity
    0.99
    erer
    0.85
    ule
    0.84
    acies
    0.84
    rice
    0.84
    Activations Density 0.035%

    No Known Activations